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  4. Professor Jiandong Zhou

Professor Jiandong Zhou

Assistant Professor
Department of Family Medicine and Primary Care

  • BSc (BIT), MSc (BUCT), Ph.D. (CityU), PostDoc (Oxford)
email jdzhou@hku.hk
email HKU Scholars Hub
email ORCiD Connecting Research and Researchers
Prof. Zhou was jointly appointed by School of Public Health at the University of Hong Kong (HKU) Li Ka Shing Faculty of Medicine in 2024. Prof. Zhou received his post-doctoral training as a Medical Statistician at the Nuffield Department of Clinical Medicine, University of Oxford, United Kingdom. He earned his Ph.D. in Data Science from School of Data Science, City University of Hong Kong, Hong Kong SAR, China. Before joining HKU, Prof. Zhou worked as Assistant Professor at Warwick Medical School, University of Warwick, United Kingdom.

Prof Zhou has research interests in big data analytics, medical statistics, primary care and preventive health, case-control and cohort studies, predictive and decision analytics, pharmacoepidemiology and aetiology of chronic diseases (including cardiovascular diseases, diabetes mellitus, etc. for family medicine patients). He also has study interests in casual treatment effects analysis (double machine learning), social epidemiology and adverse online events identification with text mining, high-dimension data representation and latent cluster pattern learning in large-scale health datasets. Recently, he is conducting machine learning analytics for illness trajectories and palliative care, especially progression pattern analysis/visualization, end stage risk assessment following chronic diseases, and non-invasive cancer screening.
Key Research Areas
  1. Medical statistics, case-control study designs, population cohort studies, casual effects analysis (propensity score matching, inverse probability weighting, Bayesian modeling, double machine learning), and cost-effectiveness for pharmacotherapy in family medicine patients.
  2. Health big data analytics for primary care of communicable and non-communicable diseases including liver injury, cardiovascular diseases, diabetes, hypertension, and renal failure.
  3. Illness trajectories and palliative care by identifying and visualizing disease progression patterns, conducting severe risk assessment, and developing non-invasive cancer screening tools.
  4. Multi-antibiotics resistance prediction with patient clinical characteristics, blood culture and sensitivity tests using machine learning.
 

Key Publications
  • Chou, J. Ning, R.N.C. Chan, C.T. Chung, H. Huang, K. Ng, E. C. Dee, S. Lee, A. Kaewdech, A.K.M. Chow, N. K. Man, T. Liu, F.S. Jing, B.M.Y. Cheung, G. Tse, J.D. Zhou. Comparisons of New-Onset Prostate Cancer in Type 2 Diabetes Mellitus Exposed to SGLT2I, DPP4I and GLP1: A Population-Based Cohort Study. Journal of the National Comprehensive Cancer Network. 2024. (To appear).
  • X.Y. Gao, N. Zhang, L. Lu, T.Y. Gao, O.H.I. Chou, W.T. Wong, C. Chang, A.K.C. Wai, G. Y. H. Lip, Q.P. Zhang, G. Tse, T. Liu, J.D. Zhou. New-Onset Syncope in Diabetic Patients Treated with Sodium-Glucose Cotransporter-2 Inhibitors Versus Dipeptidyl Peptidase-4 Inhibitors: A Chinese Population-Based Cohort Study. European Heart Journal - Cardiovascular Pharmacotherapy. 2023. Doi: 10.1093/ehjcvp/pvad086.
  • J.D. Zhou, I. Lakhani, O.H.I. Chou, K.S.T. Leung, T.T.L. Lee, M.Y. Wong, Z. Li, A.K.C. Wai, C. Chang, I.C.K. Wong, Q.P. Zhang, G. Tse, B.M.Y. Cheung. Clinical Characteristics, Risk Factors and Outcomes of Cancer Patients With COVID-19: A Population-Based Study. Cancer Medicine, 2023, 12(1): 287-296. Doi: 10.1002/cam4.4888.
  • O.H.I. Chou, J.D. Zhou, L.F. Li, J.H.K. Chan, D.I. Satti, V.H.C. Chou, W.T. Wong, S. Lee, B.M.Y. Cheung, G. Tse, C. Chang. The Association Between Neutrophil-Lymphocyte Ratio and Variability with New-Onset Dementia: A Population-Based Cohort Study. Journal of Alzheimer’s Disease, 2023, 94 (2): 547-557. Doi: 10.3233/JAD-220111.
  • G. Tse, Q. Lee, O.H.I. Chou, C.T. Chung, S. Lee, J.H.K. Chan, G.L. Li, N. Kaur, L. Roever, H.P. Liu, T. Liu, J.D. Zhou. (2023). Healthcare Big Data in Hong Kong: Development and Implementation of Artificial Intelligence-Enhanced Predictive Models for Risk Stratification. Current Problems in Cardiology, 2023, 49(1-B): 102168. Doi: 10.1016/j.cpcardiol.2023.102168.
  • Y.H.A. Lee, J.D. Zhou, J.M.H. Hui, X.J. Liu, T.T.L. Lee, K. Hui, J.S.K. Chan, A.K.C. Wai, W.T. Wong, T. Liu, K. Ng, S. Lee, E.C. Dee, Q.P. Zhang, G. Tse. Risk of New-Onset Prostate Cancer for Metformin Versus Sulfonylurea Use in Type 2 Diabetes Mellitus: A Propensity Score–Matched Study. Journal of the National Comprehensive Cancer Network, 2022, 20(6), 674-682. Doi: 10.6004/jnccn.2022.7010.
  • J.S.K. Chan, D.I. Satti, Y.H.A. Lee, J.M.H. Hui, T.T.L. Lee, O.H.I. Chou, A.K.C. Wai, A. Ciobanu, Y. Liu, T. Liu, L. Roever, G.B. Zoccai, Q.P. Zhang, B.M.Y. Cheung, J.D. Zhou, G. Tse. High Visit-to-Visit Cholesterol Variability Predicts Heart Failure and Adverse Cardiovascular Events: A Population-Based Cohort Study, European Journal of Preventive Cardiology, 2022, 29(14), e323-e325. Doi: 10.1093/eurjpc/zwac097.
  • J.D. Zhou, X.S. Wang, S. Lee, W.K.K. Wu, B.M.Y. Cheung, Q.P. Zhang, G. Tse. Gender-Specific Clinical Risk Scores Incorporating Blood Pressure Variability for Predicting Incident Dementia. Journal of the American Medical Informatics Association, 2022, 29(2): 335-347. Doi: 10.1136/gutjnl-2020-323668.
  • J.D. Zhou, S. Lee, X.S. Wang, Y. Li, W.K.K. Wu, T. Liu, Z.D. Cao, D.D.J. Zeng, K.S.T. Leung, A.K.C. Wai, I.C.K. Wong, B.M.Y. Cheung, Q.P. Zhang, G. Tse. Development of A Multivariable Prediction Model for Severe COVID-19 Disease: A Population-Based Study from Hong Kong. NPJ Digital Medicine, 2021, 4(1): 66, Doi: 10.1038/s41746-021-00433-4.
  • J.D. Zhou, X.S. Wang, S. Lee, W.K.K. Wu, B.M.Y. Cheung, Q.P. Zhang, G. Tse. Proton Pump Inhibitor or Famotidine Use and Severe COVID-19 Disease: A Propensity Score-Matched Territory-Wide Study, Gut, 2020, Doi: 10.1136/gutjnl-2020-323668.